llama.cpp has officially integrated WebGPU support, significantly reducing VRAM usage for browser-based inference by over 30%. This development allows GGUF-format large models to run directly on local GPUs within browsers, eliminating the need for native clients or complex WebAssembly setups. The WebGPU backend introduces static memory planning and efficient model loading, cutting GPU memory overhead by 29% to 33% compared to existing frameworks. Performance improvements are notable, with decoding throughput on Intel, Apple, and NVIDIA GPUs increasing by 45% to 69%. The integration also supports native compilation via Google's C++ WebGPU implementation, Dawn, offering a benchmark for performance comparisons between Vulkan and WebGPU. This advancement enhances privacy by keeping data local and simplifies the web ecosystem's compute capabilities.